{"id":"W4323035284","doi":"10.1002/9781119790686.ch33","title":"AI for Workflow Enhancement in Radiology","year":2023,"lang":"en","type":"other","venue":"AI in Clinical Medicine","topic":"Radiology practices and education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University; Vancouver General Hospital","funders":"","keywords":"Workflow; Radiology; Computer science; Workflow technology; Scheduling (production processes); Medical physics; Medicine; Engineering; Database; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004623828,0.0007570029,0.0003447557,0.002017696,0.001645156,0.005675273,0.001299751,0.002013966,0.03299891],"category_scores_gemma":[0.007720521,0.0002655828,0.0007328417,0.002391863,0.002908847,0.005319618,0.00420397,0.003053231,0.01285136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002812051,"about_ca_system_score_gemma":0.004331775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001707937,"about_ca_topic_score_gemma":0.001894168,"domain_scores_codex":[0.996438,0.001508784,0.0002583779,0.0003554974,0.001162376,0.0002769174],"domain_scores_gemma":[0.9956877,0.002177972,0.0003653226,0.0005289587,0.000640305,0.00059967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005065759,0.00006271367,0.0004059879,0.001038229,0.00001974247,0.0002299082,0.001206494,0.001116154,0.001280574,0.4312849,0.08457865,0.4787259],"study_design_scores_gemma":[0.00001099607,0.00003817028,0.0004362129,0.0009872615,0.00001251988,0.0005189282,0.0004223657,0.00142875,0.0007801645,0.126376,0.8689643,0.0000243051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003348328,0.05407583,0.2244655,0.04516238,0.005325943,0.0004225817,0.0003373838,0.002871042,0.663991],"genre_scores_gemma":[0.1332315,0.08737578,0.4928018,0.01796918,0.006292862,0.0009250477,0.000995309,0.001271886,0.2591366],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03299891,"threshold_uncertainty_score":0.1103924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261507101423596,"score_gpt":0.5189640611812709,"score_spread":0.3928133510389114,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}